جستجوی استاد راهنمای دانشگاهی

Povilas Treigysمشاهده پروفایل

استاد

• Digital Signal Processing
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Professor Povilas Treigys is a Senior Researcher and Group Leader at the Image and Signal Analysis Group within the Institute of Data Science and Digital Technologies at Vilnius University's Faculty of Mathematics and Informatics. With extensive experience in digital signal processing and machine learning applications, he leads research efforts in medical image analysis, speech processing, and maritime traffic modeling. Dr. Treigys earned his Doctor of Science in Computer Science Engineering in 2010 with a dissertation on "Development and application of graphical methods for analyzing ophthalmological and thermovision data." His academic journey has been marked by significant contributions to interdisciplinary research connecting computer science with medical applications. His research primarily focuses on digital signal processing across multiple domains including medical imaging (MRI, eye fundus), audio signals, and maritime traffic data. A key emphasis of his work is the development and application of deep learning methods to solve real-world problems in healthcare diagnostics, retail automation, and transportation safety. His recent work demonstrates a strong trend toward explainable AI in medical applications and sophisticated time series analysis for prediction tasks. Professor Treigys serves in numerous leadership roles including as a EuroHPC JU Board Member representing Lithuania, VU MIF representative on the Lithuanian Quantum Technology Association board, and as a delegate to multiple professional committees. He is an active reviewer for several prestigious journals including Computer Science, Nonlinear Analysis, Baltic Journal of Modern Computing, MDPI Sensors, and MDPI Electronics. His laboratory focuses on bridging theoretical machine learning advancements with practical applications, particularly in medical diagnostics where his team has made significant contributions to prostate cancer detection, arrhythmia classification, and ophthalmological image analysis. The group maintains strong international collaborations and regularly presents findings at major conferences in computer vision, medical imaging, and artificial intelligence.

• Analytic Number Theory
• Riemann Zeta Function
• Dirichlet L-functions
• +۵ مورد دیگر

Professor Igor Belov is a Senior Researcher and Professor at Vilnius University's Institute of Data Science and Digital Technologies, specializing in analytic number theory, information security, and mathematical modeling. His research spans theoretical mathematics with practical applications in finance and computer science, particularly focusing on zeta functions, prime number theory, and stable distribution models. Education: Doctor of Physical Sciences (Mathematics) from Vilnius University and Vilnius Gediminas Technical University (2004) Master's degree in Statistics from Vilnius University (1999) Bachelor's degree in Mathematics Applications from Vilnius University (1997) Professor Belov's research interests center on analytic number theory with emphasis on Riemann zeta function and Dirichlet L-functions, combinatorial analysis, information security, and mathematical modeling of financial data using stable distributions. His recent work explores fractal structures related to zeta functions, efficient algorithms for zeta function calculations, and applications of machine learning in financial document analysis and securities price forecasting. His publication record demonstrates a strong trajectory from pure mathematical research toward interdisciplinary applications. While maintaining a robust foundation in analytic number theory, his recent work increasingly bridges theoretical mathematics with practical computing applications, particularly in financial modeling and information security. This evolution reflects a strategic expansion of his research impact across multiple domains. Scientific Awards: 1st place at the Vilnius Young Mathematicians' Olympiad (1990) Honorable mention at the Lithuanian Young Mathematicians Olympiad (1991) Letter of Commendation at the Lithuanian Young Mathematicians Olympiad (1992) Professor Belov actively supervises doctoral research and has served on numerous dissertation defense committees. He currently mentors four doctoral students working on zeta function algorithms, financial forecasting, document recognition, and blockchain acceleration. His research has been supported by multiple grants including the LMT project P-SV-23-9 on Mandelbrot bulbs visualization associated with the Riemann zeta function. He has also participated in international research collaborations at CINECA supercomputing center and Karlsruhe Institute of Technology. As a member of the Smart Technologies Research Group, Professor Belov contributes to Vilnius University's leadership in mathematical research and its applications, particularly in the areas of zeta function analysis and computational finance.

Romas Alonderisمشاهده پروفایل

پژوهشگر

• proof theory of classical and non-classical logics
• automation of evidence search
• application of logic in computer science
• +۳ مورد دیگر

Romas Alonderis is a Researcher at the Cybersocial Systems Engineering Group within the Institute of Data Science and Digital Technologies at Vilnius University, Lithuania. His work focuses on mathematical logic and its applications in computer science, particularly in the areas of proof theory and automated reasoning. Dr. Alonderis earned his Doctor of Mathematics degree in 2001 with a dissertation titled "Investigation of the Proof Theory of Time Logic with Time Slots." His academic career has been dedicated to advancing the understanding of logical systems and their computational applications. Dr. Alonderis specializes in the proof theory of classical and non-classical logics, with particular expertise in temporal logic, intuitionistic logic, and modal logic. His research focuses on developing efficient proof-search methods, analyzing sequent calculi, and exploring applications of logical systems in computer science. He has made significant contributions to the understanding of cut elimination, loop-check mechanisms, and the automation of reasoning processes in various logical frameworks. His work bridges theoretical foundations with practical applications in formal verification, knowledge representation, and multi-agent systems. Analysis of Dr. Alonderis's recent publications reveals a consistent focus on advancing proof-theoretic methods for various logical systems. His work spans mathematical logic, theoretical computer science, and artificial intelligence, with particular emphasis on temporal reasoning, epistemic logic, and automated theorem proving. A notable trend in his research is the development of efficient algorithms for proof search in non-classical logics, addressing challenges related to termination, complexity, and practical implementation. His publications demonstrate a progression from foundational work on temporal logic to more recent applications in multi-agent systems and quantum computing contexts. Member of the Lithuanian Mathematical Society Throughout his career, Dr. Alonderis has participated in research projects focused on "Proof-finding methods for non-classical logics and communicative complexity." His work has been presented at numerous Lithuanian Mathematical Society Conferences, covering topics such as Indexed Multisuccessive Constructive Logic Calculus, intuitionistic discrete-time logic, and structural rules in temporal logic. As a member of the Cybersocial Systems Engineering Group at Vilnius University, Dr. Alonderis collaborates with interdisciplinary teams working at the intersection of logic, computer science, and social systems. His office is located at Akademijos St. 4, room 228, Vilnius, where he continues his research on advanced logical frameworks and their computational applications.

Asta Slotkienėمشاهده پروفایل

دانشیار

• Software quality assurance
• Software development processes
• E-learning systems
• +۳ مورد دیگر

Assoc. Prof. Dr. Asta Slotkienė is an Associate Professor and Researcher at the Cybersocial Systems Engineering Group , Institute of Mathematics and Informatics, Vilnius University , Lithuania. She has been a faculty member since at least 2009 and is based at Akademijos St. 4, Vilnius. Education PhD in Computer Science Engineering, Kaunas University of Technology (2009) MSc in Computer Science Engineering, Kaunas University of Technology (2004) BSc in Physics and Computer Science, Šiauliai University (2002) Research Interests Dr. Slotkienė’s research spans software quality assurance , development process improvement , e-learning systems , and cognitive decision-making . She investigates how rigorous evaluation methodologies and AI techniques can enhance the reliability and usability of software products and services. Her recent work explores the intersection of large language models and automated software testing , as well as the modeling of web service quality using fuzzy logic and ontology-based approaches. Research Trends Across her latest publications, a clear trend emerges toward leveraging AI and machine learning , particularly large language models , to automate and improve software testing practices. Simultaneously, she continues to deepen the theoretical foundations of software and service quality modeling , integrating fuzzy logic , ontology engineering , and bibliometric analyses to build robust frameworks for quality evaluation. Scientific Service & Awards Program Committee Member: ACM/SIGAPP SAC (2023–2025) Organizing Committee Member: Baltic DB&IS 2024 Program Committee Member: SS AIEDUMED’25, CompSysTech’25 Reviewer for Informatica, Baltic Journal of Modern Computing, New Trends in Computer Sciences Projects & Funding 2022–2026 Master of Science in Smart, Secure and Interconnected Systems (EU Grant 101083531) 2022–2024 Embracing RAD Skills for Employability and Innovation 2020–2022 AI-Enhanced Accounting and Business Management Systems (Grant 01.2.1-LVPA-K-856-01-0083) 2014–2018 Erasmus+ “Open University for Virtual Mobility” (2014-1-LT01-KA203-000550) 2012–2015 Tempus “High Objectives of National Organizational Reform” (530284-TEMPUS+1-2012-1-ES-TEMPUS-JPHES) International Collaboration & Training Through multiple Erasmus+ teaching and learning visits (Las Palmas de Gran Canaria, Madeira, Azores, Maia), as well as participation in DeepLearn schools and professional training (Devbridge/Cognizant Softvision, Robotic Process Automation, Creative Commons, Contextual Modeling), Dr. Slotkienė actively fosters cross-border academic cooperation and continuous professional development.

• Stochastic Programming
• Mathematical Modeling
• Financial Mathematics
• +۷ مورد دیگر

Prof. habil. dr. Leonidas Sakalauskas is an Affiliated Scientist at the Smart Technologies Research Group within the Institute of Data Science and Digital Technologies at Vilnius University. His extensive research career spans mathematical modeling, stochastic programming, and statistical analysis with significant contributions across multiple disciplines. He maintains an active research profile with recent publications extending into 2025. Professor Sakalauskas' research focuses on stochastic programming, mathematical modeling, financial mathematics, statistical analysis, optimization, and queueing theory. His work demonstrates a consistent pattern of interdisciplinary research, bridging theoretical mathematics with practical applications in finance, social sciences, and computer science. He has developed innovative approaches to agent-based modeling, fractal analysis, and Monte Carlo methods, contributing significantly to both theoretical frameworks and practical implementations. His recent publications reveal a continuing evolution of research interests, with increasing emphasis on data science applications, computational social science, and advanced statistical modeling techniques. The articles demonstrate sophisticated methodological approaches to complex problems across diverse domains including financial modeling, social cohesion analysis, and network performance optimization. Throughout his career, Professor Sakalauskas has maintained a strong publication record in high-impact journals and conference proceedings, reflecting his ongoing engagement with the international research community. His work shows consistent methodological rigor combined with practical relevance across multiple application domains. Professor Sakalauskas has collaborated extensively with researchers across Lithuania and internationally, demonstrating strong teamwork and interdisciplinary engagement. His research has practical applications in financial modeling, social science analysis, and computational systems optimization, contributing to both theoretical advances and real-world implementations.

• Mathematical Logic
• Theoretical Computer Science
• Automated Reasoning
• +۳ مورد دیگر

Aida Pliuškevičienė serves as an Associate Professor and Affiliated Scientist at Vilnius University's Institute of Data Science and Digital Technologies within the Cybersocial Systems Engineering Group. Her research is centered at the intersection of mathematical logic and theoretical computer science. Her primary research interests include Temporal Logic , Modal Logic , and Proof Theory , with significant contributions to sequent calculi, loop-check elimination, and termination methods in automated deduction. Her work demonstrates consistent focus on formal verification systems and computational logic frameworks. Analysis of her 25+ publications reveals sustained expertise in developing decision procedures for temporal and modal logics, with recent work advancing cyclic sequent calculus strategies (2025) and loop-check specifications (2022). Her research trajectory shows evolution from foundational work on Gentzen-type calculi (1992) to contemporary applications in distributed knowledge systems. As an active researcher at Vilnius University's Akademijos St. 4 campus, she collaborates extensively with Romas Alonderis, Regimantas Pliuškevičius, and Haroldas Giedra on temporal logic frameworks. Her publication record in journals like Lithuanian Mathematical Journal and Journal of Automated Reasoning demonstrates sustained scholarly output over three decades.

• Brain-Computer Interfaces
• Data Mining
• Artificial Intelligence
• +۲ مورد دیگر

Robertas Damaševičius serves as a Professor at Vytautas Magnus University's Department of Applied Informatics within the Faculty of Informatics. Holding a Doctor of Sciences degree, he maintains active academic engagement at the institution. His research expertise spans critical domains in modern computing: Brain-Computer Interfaces Data Mining methodologies Artificial Intelligence applications Digital Signal Processing techniques Physiological Computing systems Professor Damaševičius supervises advanced research in applied informatics, with recent Master's theses focusing on nature-inspired recommendation algorithms, convolutional neural networks for industrial defect detection, and innovative approaches to zero-day cyberattack prevention. His academic supervision bridges theoretical computer science with practical implementations across multiple industries. Professional academic profiles: ORCID: 0000-0001-9990-1084 Scopus Author ID: 6603451290 Researcher ID: E-1387-2017 Google Scholar: N9ZrcVIAAAAJ&hl

Adelė Vaiginytėمشاهده پروفایل

پژوهشگر

• Comparative Politics
• Political Sociology
• Quantitative Methods
• +۳ مورد دیگر

Dr. Adelė Vaiginytė is a Researcher at Vilnius University's Institute of International Relations and Political Science (TSPMI), specializing in the application of advanced quantitative methodologies to political and social research. Holding a PhD in Mathematics, she bridges mathematical rigor with social science inquiry, focusing on Comparative Politics and Political Sociology through technological and analytical frameworks. Education PhD in Mathematics Her research centers on societal polarization, democratic institutions, and media bias analysis using computer content analysis and advanced data techniques. The 2021 study on Lithuanian regional press exemplifies her approach to detecting political bias through computational methods, while her mathematical publications demonstrate deep expertise in analytic number theory. This dual focus enables innovative cross-disciplinary insights into complex social dynamics. Dr. Vaiginytė's publication trends reveal a distinctive blend of political science and pure mathematics scholarship, reflecting her unique position at the quantitative-social science intersection. Her work consistently applies mathematical precision to real-world political phenomena while advancing theoretical knowledge in number theory. As a Junior Researcher on the project "Support for democratic institutions and societal polarization: an analysis of mutual interactions," she contributes specialized data analysis skills to interdisciplinary teams. Her six years of research experience emphasize project planning and methodological innovation, though no student supervision or individual grant details are publicly documented.

Lina Murinienėمشاهده پروفایل

دانشیار

• Rhetoric
• Language Communication
• Pragmatics
• +۴ مورد دیگر

Dr. Lina Murinienė is an Associate Professor at the Faculty of Communication of Vilnius University, affiliated with the Department of Book, Media and Publishing Studies . She holds a Doctoral degree from Šiauliai Pedagogical Institute and has over 30 years of teaching experience in Lithuanian language and communication. Her research focuses on rhetoric, language policy, dialectology, and computational linguistics. Notably, she was honored as the Faculty’s Best Lecturer of 2020. Her academic contributions include monographs like Rytinių šiaurės žemaičių fonologija (2007) and peer-reviewed articles on language standardization and sociolinguistic issues. She supervises doctoral students, including Alius Avčininkas, and actively participates in academic committees and editorial boards. Her work emphasizes the ethical dimensions of communication and the evolution of language in digital contexts. Murinienė has engaged in professional development programs, such as a 2013 traineeship at Lomonosov Moscow State University, and promotes science through publications like Administracinės kalbos aktualijos . She teaches courses in rhetoric and communication, blending theoretical rigor with practical pedagogy.

Arturas Acusمشاهده پروفایل

پژوهشگر

• Clifford Algebra
• Computer Algebra Systems
• Classical Physics
• +۱ مورد دیگر

Dr. Artūras Acus is a Senior Researcher at the Institute of Theoretical Physics and Astronomy (ITPA) , Vilnius University, specializing in Clifford Algebra , Classical and Quantum Physics , and Computer Algebra Systems . His work bridges abstract mathematical frameworks with computational tools to solve complex problems in theoretical physics. Research Trends : His publications focus on advanced mathematical techniques in physics, including multivector exponentials, quantum eigenstate calculations, and geometric algebra applications. Recent studies explore nonlinear dynamics in mechanical waves and algebraic solutions for quantum wells, reflecting a strong emphasis on theoretical and computational innovation. Expertise : Dr. Acus contributes to the analysis of multivector operations and their implications in quantum systems, utilizing symbolic computation tools like Mathematica to model physical phenomena. His research has been published in journals such as Nonlinear Analysis: Modelling and Control and Advances in Applied Clifford Algebras .

Kęstutis Aidasمشاهده پروفایل

دانشیار

• Quantum chemistry
• Molecular simulations
• Computational spectroscopy

Dr. Kęstutis Aidas is an Associate Professor and Senior Researcher at Vilnius University's Faculty of Physics, affiliated with the Institute of Chemical Physics (ICP). His research focuses on quantum chemistry, molecular simulations, and computational spectroscopy, with expertise in solvent effects and NMR spectroscopy. Research Interests: Quantum chemistry methods, molecular dynamics simulations of solvent-solute interactions, computational NMR spectroscopy, and development of quantum chemistry software systems. His work bridges theoretical chemistry with practical applications in material science and biophysics. Publication Trends: Recent articles (2013-2021) demonstrate a strong focus on hybrid QM/MD approaches for studying complex systems like ionic liquids and protein-ligand interactions. Earlier works (2005-2008) established foundational methodologies for solvent effect modeling and electronic transition calculations. Awards & Honors: Vilnius University Lecturer of the Year (2019) Young Scientist Award, Lithuanian Academy of Sciences (2014) Grants & Supervision: Currently leads two Lithuanian Research Council grants (S-MIP-22-74: €150,000; S-MIP-17-84: €100,000). Has supervised 1 PhD graduate and currently mentors 2 PhD students. Oversaw 5 graduate and 8 undergraduate theses. Professional Service: Serves on the Scientific Ethics Committee at Vilnius University's Faculty of Physics. Peer-reviews for 10+ journals including Journal of Computational Chemistry and Physical Chemistry Chemical Physics.

• Chemical physics
• Computational chemistry
• Molecular modelling
• +۶ مورد دیگر

Dr. Laura Baliulytė is a Research Fellow at the Institute of Chemical Physics at Vilnius University's Faculty of Physics. She specializes in computational chemistry with a focus on molecular aggregation, self-assembly, and the effects of radiation on biomolecules. Her research interests include Chemical physics, Computational chemistry, Molecular modelling, Quantum chemistry, Theoretical chemistry, Stereochemistry, High-performance computing, Molecular aggregation, and Molecular self-assembly. She employs advanced computational methods to investigate how low-energy ionizing radiation affects amino acids and how molecular structures form and interact. Dr. Baliulytė's publication record shows a consistent focus on quantum chemical investigations of amino acid fragmentation under radiation exposure, with recent work extending to porphyrin aggregation studies. Her research demonstrates strong interdisciplinary connections between theoretical chemistry, radiation physics, and biomolecular science. She is an active member of the national HPC competences center (NCC) of Lithuania since 2023 and participates in science popularization activities including the 'Tyrėjų naktis' event. Her current research is supported by the EuroHPC JU Call for Proposals for Development Access project 'Molecular dynamics of TPPS4 aggregates' (2024-2025).

• Photosynthetic Energy Transfer
• Molecular Spectroscopy
• Quantum Biophysics
• +۲ مورد دیگر

Dr. Jevgenij Chmeliov serves as an Associate Professor at the Institute of Chemical Physics within Vilnius University's Faculty of Physics. His academic career bridges physics, chemistry, and biology to investigate fundamental mechanisms of light harvesting and energy transfer in photosynthetic systems. Dr. Chmeliov's research centers on light harvesting and regulation in photosynthesis , excitation energy transfer in molecular systems , and quantum mechanical processes in biological complexes. His work employs advanced spectroscopic techniques and computational modeling to decipher how photosynthetic organisms optimize solar energy capture while implementing protective photoprotection mechanisms. He has made significant contributions to understanding non-photochemical quenching, energy regulation in antenna complexes, and the structural basis of pigment-protein interactions. Analysis of his publication record reveals a consistent focus on photosynthetic energy transfer mechanisms with growing interdisciplinary connections between quantum biology and materials science. His research spans from fundamental investigations of natural photosynthesis to applications in renewable energy technologies, particularly in perovskite-based optoelectronic devices, demonstrating how biological principles can inform artificial light-harvesting system design. 'Teacher of the Year' Award at Vilnius University (2020) Young Researcher's Scholarship from Lithuanian Academy of Sciences (2020) Award from Lithuanian Academy of Sciences in Young Researchers' Scientific Works Competition (2017) Young Researcher's Scholarship from Lithuanian Academy of Sciences (2016) Best PhD Thesis Award in Physical Sciences, Lithuanian Academy of Sciences (2016) As an educator, Dr. Chmeliov teaches advanced courses including Quantum Mechanics I/II, Application of Mathematical Methods in Physics, and Selected Topics in Theoretical Physics. He actively supervises student theses and contributes to science education through his roles as Co-chairman of the Academic Committee for the International Physics Olympiad (IPhO) 2021 and Member of the International Board of the IPhO. His service extends to the Young Academy of the Lithuanian Academy of Science and the Theoretical Physics and Astrophysics Study Programme Committee at Vilnius University.

Kazimieras Černisمشاهده پروفایل

پژوهشگر

• Galactic structure
• Star formation
• Dust clouds
• +۷ مورد دیگر

Dr. Kazimieras Černis serves as a Chief Researcher at the Institute of Theoretical Physics and Astronomy (ITPA) within the Faculty of Physics at Vilnius University. His work bridges observational astronomy with theoretical analysis of celestial phenomena, utilizing data from Lithuania's Moletai Astronomical Observatory and international collaborations. Research Focus Černis specializes in two primary research domains: galactic structure studies focusing on star formation and dust clouds in the Orion and Perseus arms of the Milky Way Galaxy, and solar system research centered on comets and asteroids. His galactic work involves analyzing interstellar extinction patterns and open star clusters using multicolor photometry and Gaia DR2 astrometric data. In planetary science, he determines precise orbital parameters for solar system objects discovered at Lithuanian observatories, including the transneptunian object (420356) Praamžius. Publication Trends His 2016-2022 publications reveal consistent dual-track research: galactic studies often involve collaborations with V. Straižys analyzing star clusters King 7, IC 1369, and IC 4996; while solar system work documents asteroid and comet discoveries from Moletai Observatory. His research methodology combines observational data with computational analysis to determine precise orbital mechanics and galactic structures, demonstrating Lithuania's integration into global astronomical research networks. Science Outreach Černis actively engages in science popularization through astronomy lectures at "Researchers' Nights" events at Moletai Astronomical Observatory, contributions to the periodical "Lietuvos dangus" (Lithuanian Sky), and interviews for the television program "Mokslo sriuba" (Science Soup), effectively translating complex astronomical concepts for public audiences.

• Particle physics
• Quantum field theory
• Renormalization
• +۳ مورد دیگر

Dr. Vytautas Dūdėnas is a Researcher at the Institute of Theoretical Physics and Astronomy (ITPA) within the Faculty of Physics at Vilnius University. His primary research focuses on particle physics theory and phenomenology, with specific expertise in quantum field theory, renormalization techniques, and beyond standard model physics. His work bridges theoretical frameworks with experimental applications in laser physics and optics. Dr. Dūdėnas' research interests span particle physics theory, quantum field theory, renormalization methods, and beyond standard model physics. His recent publications demonstrate a significant focus on laser-matter interactions, nonlinear optics, and advanced optical techniques. His work explores fundamental aspects of particle interactions while applying these principles to cutting-edge optical technologies and material processing techniques. The consistent theme across his research is the investigation of fundamental physical phenomena through both theoretical frameworks and experimental applications. Analysis of his recent publications reveals a strong emphasis on Bessel beams, supercontinuum generation, femtosecond laser processing of materials, and advanced optical techniques. His work demonstrates expertise in both theoretical physics concepts and their practical applications in photonics and materials science. The interdisciplinary nature of his research connects fundamental particle physics with applied optical technologies. Dr. Dūdėnas teaches advanced physics courses including Quantum Field Theory II and Mechanics, contributing to the education of future physicists at Vilnius University. His ORCID profile (0000-0001-9405-9959) provides access to his complete publication record, while his research outputs are extensively documented on INSPIRE-HEP.